Influence Of Model Type Research Articles

Delay-feedback control strategy for reducing [formula omitted] emission of traffic flow system

To study the signal control strategy for reducing traffic emission theoretically, we first presented a kind of discrete traffic flow model with relative speed term based on traditional coupled map car-following model. In the model, the relative speed difference between two successive running cars is incorporated into following vehicle’s acceleration running equation. Then we analyzed its stability condition with discrete control system stability theory. Third, we designed a delay-feedback controller to suppress traffic jam and decrease traffic emission based on modern controller theory. Last, numerical simulations are made to support our theoretical results, including the comparison of models’ stability analysis, the influence of model type and signal control on CO2 emissions. The results show that the temporal behavior of our model is superior to other models, and the traffic signal controller has good effect on traffic jam suppression and traffic CO2 emission, which fully supports the theoretical conclusions.

Finite Element Analysis of Creep Damage Behavior Near the Cavity on Bimaterial Interface

Fracture along an interface between materials plays a major role in failure of material. In this investigation, finite element calculations with Kachanov–Rabotnov damage law were carried out to study the creep damage distribution near the interface cavity in bimaterial specimens. The specimens with central hole were divided into three types. The material parameters of K-R law used in this paper were chosen for a brittle material and ductile material. All calculations were performed under four load cases. Due to the difference between elastic moduli of the bounded materials, the elastic stress field as a function of the Young’s modulus ratio (R=E1/E2) was determined. At the same time, the influence of model type on elastic stress distribution near the cavity was considered. Under the same conditions, the material with larger modulus is subjected to larger stress. The creep damage calculations show that the location of the maximum damage is different for each model. The distributions of creep damage for all three models are dependent on the material properties and load cases.

The influence of model type and incubation time on the estimation of stable organic carbon in organic materials

SummaryThere is a renewed interest in the stability and turnover of organic carbon (C) in organic materials added to soil, partly driven by concerns about global changes. We used mineralization data from laboratory incubations to determine the amount of stable organic C present. Four organic wastes were incubated with soil under controlled conditions and C mineralization was monitored, and four additional C mineralization experiments were selected from the literature. All data were rescaled to a common temperature, and we fitted five different models with biological significance to the C mineralization data, namely a first‐order model (M1), a parallel first‐order model (M11), a parallel first‐zero‐order model (M10), a second‐order model (M2) and a Monod kinetic model (Monod). All models could describe the mineralization data satisfactorily. However, this does not automatically imply that the individual parameter values are realistic estimates of the underlying biological processes. All models were then fitted for progressively shorter incubation times and were used to extrapolate C mineralization to predict the amount of (measured) stable organic C. The M11 and Monod models performed best in estimating stable organic C, but they did not fit the short‐term incubation data (< 100 days) for some materials. The M2 model allowed stable organic C to be estimated within less than 3% of the true value for all materials based on an incubation time of less than 60 days. The M1 and M10 models systematically and strongly under‐ or overestimated stable organic C as the incubation time was shortened, and should not be used for extrapolation from short‐term data.

Learning versus Correct Models: Influence of Model Type on the Learning of a Free-Weight Squat Lift

It has been assumed that demonstrating the correct movement is the best way to impart task-relevant information. However, empirical verification with simple laboratory skills has shown that using a learning model (showing an individual in the process of acquiring the skill to be learned) may accelerate skill acquisition and increase retention more than using a correct model. The purpose of the present study was to compare the effectiveness of viewing correct versus learning models on the acquisition of a sport skill (free-weight squat lift). Forty female participants were assigned to four learning conditions: physical practice receiving feedback, learning model with model feedback, correct model with model feedback, and learning model without model feedback. Results indicated that viewing either a correct or learning model was equally effective in learning correct form in the squat lift.